Introduction: As the number of minimally invasive technologies increases in the field of thoracic surgery, so have the number of learning curve analyses performed for these innovations. Variation in learning curve methodology makes between-study comparisons and evidence syntheses difficult. Furthermore, poorly described and reported learning curve analyses make the results difficult to apply to different clinical settings. The objective of this systematic review is to characterize the variability in the methods used to construct and describe learning curves, with the goal of identifying shortcomings and potential areas for improvement in this line of research.
Methods: A search of Ovid Medline, Ovid Embase, EBSCO CINAHL, and Web of Science was performed. Studies of learning curves of anatomical lung resection operations in adult patients published in the English language were eligible for inclusion. Two reviewers independently assessed studies for eligibility, and extracted relevant data.
Results: The search yielded 56 articles eligible for inclusion in the present review. A variety of methods were used to construct the learning curve, with chronological grouping of cases being the most commonly used technique in 22 (39.29%) studies, followed by the cumulative sum method, employed in 21 (37.50%) studies. A total of 15 unique metrics were used for learning curve analyses; operative time was the most common metric, used in 39 (69.64%) studies. A large proportion of studies failed to provide details on learning curve parameters such as competency thresholds, surgeon’s prior experience, case complexity, and learning curve definition. Considerable heterogeneity was found in the methods and reporting standards of learning curve evaluations in minimally invasive thoracic surgery.
Conflicts of Interest: None.
Funding Source: Boris Family Centre for Robotic Surgery. / Thesis / Master of Science (MSc)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/26646 |
| Date | January 2021 |
| Creators | Malik, Peter |
| Contributors | Hanna, Waël, Health Research Methodology |
| Source Sets | McMaster University |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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